Feedback Noise Modeling

Feedback Noise Modeling is a methodological framework within implicit feedback modeling that specifically addresses the inaccuracies and distortions in observed user interactions by distinguishing true user preferences from spurious signals generated by environmental or behavioral noise.

11

Publications

2.6K

Citations

25

Authors

13

Institutions

Publications per year

2017–2026

0

Authors

25

  1. MY
    Minoru Yamada

    Kanazawa University, Japan

    3 publications · 40 citations

    3

    h-index

  2. EK
    Eyal Kenig

    Tel Aviv University, Israel

    1 publications · 14 citations

    1

    h-index

  3. HW
    Haohua Wang

    First Affiliated Hospital of Xi'an Jiaotong University, China

    1 publications · 30 citations

    1

    h-index

  4. IM
    I. Mito

    NEC (Japan), Japan

    1 publications · 16 citations

    1

    h-index

  5. YK
    Yuji Kuwamura

    Kanazawa University, Japan

    1 publications · 17 citations

    1

    h-index

1–5 of 25

Venues

  1. Institutional Repositories DataBase (IRDB)

    Repository · 2 publications · 23 citations

    2

    h-index

  2. Proceedings of the IEEE

    1 publications · 2.4K citations

    1

    h-index

  3. Physical Review E

    PRE · 1 publications · 14 citations

    1

    h-index

  4. 1

    h-index

  5. 1

    h-index

1–5